video1.0<iframe src="https://www.loom.com/embed/63f8be96d8d64dc98a03b9e5728461ff" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/63f8be96d8d64dc98a03b9e5728461ff-dd6e66e35c3b5e80.gif6810.2642In this video, I dive into the fascinating world of AI and data analysis, specifically focusing on how we can leverage large language models for exploratory data analysis using resources like Data.gov. I discuss the limitations of fine-tuning language models and introduce the concept of Retrieval Augmented Generation as a more effective alternative. I also share my experiences with various datasets, including the National Student Loan Data System and active business listings in Los Angeles, highlighting the importance of critical thinking when interpreting data. I encourage everyone to explore the datasets available on Data.gov and think creatively about the analyses we can conduct. Let's engage with this data and uncover insights together!